This short video explains why companies use Hazelcast for business-critical applications based on ultra-fast in-memory and/or stream processing technologies.
Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java applications, microservices, and in-memory computing?
In this webinar, we will cover the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects.
Now, deploying Hazelcast-powered applications in a cloud-native way becomes even easier with the introduction of Hazelcast Cloud Enterprise, a fully-managed service built on the Enterprise edition of Hazelcast IMDG. Can't attend the live times? You should still register! We'll be sending out the recording after the webinar to all registrants.
In this video, we show how an edge-to-cloud architecture can integrate processing power on remote, edge devices with a central data center (typically in the cloud). We’ll show this architecture in action in the context of “connected cars,” in which Raspberry Pis act as the remote devices that send data to a cloud data center for further processing and analytics.
The deployment shown in this video uses Hazelcast Jet and Hazelcast IMDG as the core software technologies that run within the IBM Blue Horizon control plane for handling edge computing. Since edge computing requires lightweight and efficient processing technologies, Jet and IMDG are ideal components to complement the IBM edge computing infrastructure.